ES2741837T3 - Unlock and terminal control method - Google Patents

Abstract

An unlocking control method of a terminal, comprising: receiving (102) from a fingerprint recognition sensor of a terminal a plurality of first fingerprint images when a touch operation of a user's finger on the terminal is detected terminal fingerprint recognition sensor; determine, according to the plurality of first fingerprint images, whether the finger is in a stable state and whether the finger is a sweaty finger, wherein, when a difference in clarity of any two of the plurality of first images of a fingerprint is less than or equal to a predetermined value, it is determined that the user's finger is in a stable state, and wherein determining that the user's finger is a sweaty finger comprises: determining a second objective fingerprint image of the plurality of first fingerprint images, wherein the target second fingerprint image has the best clarity; extracting the characteristic points of the second target fingerprint image; and determining that the finger is the sweaty finger when a number of the characteristic points of the second target fingerprint image is less than a threshold; receiving a plurality of second fingerprint images, wherein, upon determining that the user's finger is the sweaty finger and is in the stable state, receiving (104) the plurality of second fingerprint images in accordance with a plurality of parameters CAC corresponding to the sweaty finger, and upon determining that the user's finger is a dry finger and the user's finger is in an unstable state, receiving the plurality of second fingerprint images in accordance with a plurality of previously stored CAC parameters, in where each CAC parameter comprises an offset of an analog to digital converter, ADC, an ADC gain and a pixel gain; determining (106) a first target fingerprint image from the plurality of second fingerprint images, wherein the first target fingerprint image has the best clarity; matching (108) the first target fingerprint image; and unlocking (110) the terminal when the first target fingerprint image matches.

Description

DESCRIPTION

Unlock and terminal control method

Technical field

The present disclosure refers to the field of electronic technology, and particularly to a method of controlling the unlock and a terminal.

Background

Currently, fingerprint recognition technology has become a standard configuration of the main terminals (such as smartphones, tablets and other terminal equipment). Fingerprint recognition can be used to unlock, wake up, and other terminal functions; Likewise, fingerprint recognition is an important part of mobile payments. Payment by fingerprint also presents greater security requirements while providing comfort to users. The process of fingerprint recognition can include feature extraction, data saving, and image matching. First, an original fingerprint image is acquired through a fingerprint recognition sensor, after that, the original fingerprint image is subjected to preliminary processing to be clearer, and then, the fingerprint image Original fingerprint matches a registered fingerprint template for minutiae. The terminal will be unlocked when it matches.

"Unlock time" refers to a period of time from the fingerprint image that the terminal acquires until the system unlocks. The duration of the unlocking time has become a point of competition for the products of the terminal manufacturers, and how to shorten the unlocking time of the terminal has become a technical problem that must be solved in the field.

Document CN 105550647 A refers to a method for controlling an electronic device in which a fingerprint image for unlocking is acquired by directly adopting the most adopted gain. EP 1215620 A2 refers to the capture of images in which the shape of an object is converted into an electrical quantity according to the value of the parameter set in a parameter configuration section, and the image data that is generated is generated. they represent an image corresponding to the shape of the object. US 2015/0070137 A1 refers to a method in which finger stability biometric data is acquired from a subset of the matrix, and if a finger is stable based on finger stability, biometric data is determined.

Document US 2006/0093192 A1 refers to a fingerprint guide device used for the registration of initial fingerprint data and translation into a template for future comparison matches. Document US 2007/0290124 A1 refers to the determination of an identity impersonation attempt based on a change in at least one adaptively determined processing parameter.

Document US 2014/0267659 A1 refers to the improvement of the fingerprint image.

CN 105335707 A discloses that when the finger is a wet finger, the temperature of the fingerprint sensor is controlled to increase the acceleration of liquid evaporation and improve the definition of the fingerprint image.

Document CN 105303172 A discloses that before a user touches the fingerprint sensor, if the surface of the fingerprint sensor has liquid is detected, and when there is liquid, a corresponding calibration parameter is determined.

Summary

According to the invention, there is provided a method for controlling the unlocking as set forth in claim 1 and a terminal for performing the method, with which the unlocking time of a terminal can be shortened.

In accordance with one aspect of the present disclosure, a method of controlling the release is provided, which includes the following.

At least a first fingerprint image is received when a touch operation of a user's finger on a fingerprint recognition sensor of the terminal is detected. At least a second fingerprint image is received based on the automatic capacity control (CAC) parameters when determined based on the at least one first fingerprint image that the user's finger is in a stable state. A first objective fingerprint image is determined from at least a second fingerprint image. The first objective fingerprint image is the best fingerprint image of the image of at least a second fingerprint. A pairing process is performed on the first target fingerprint image. The terminal is unlocked when the first target fingerprint image matches. In some possible implementations, the method also includes the following before at least a second fingerprint image is received.

Based on the at least one first fingerprint image, if the finger is in a stable state and if the finger is a wet finger it is determined. When the user's finger is the wet finger, the process by which at least a second fingerprint image is received based on the CAC parameters may include the following. The CAC parameters corresponding to the wet finger are determined, and the at least a second fingerprint image is received based on the determined CAC parameters corresponding to the wet finger.

In some possible implementations, the process that includes determining if the user's finger is the wet finger may include the following.

A second objective fingerprint image is determined and the second objective fingerprint image is the best fingerprint image of the at least one first fingerprint image. At least one underlying data used to generate the second target fingerprint image is acquired. It is determined whether the finger is the wet finger based on the number of underlying data in a predetermined range of at least one of the underlying data.

In some possible implementations, the process that determines whether the user's finger is the wet finger is determined based on at least a first fingerprint image includes the following.

A second objective fingerprint image is determined and the second objective fingerprint image is the best fingerprint image of the at least one first fingerprint image. The characteristic points of the second objective fingerprint image are extracted. It is determined whether the finger is the wet finger based on the number of characteristic points of the second objective fingerprint image.

In some possible implementations, the pairing process performed in the first objective fingerprint image may include the following.

The global characteristics of the first objective fingerprint image are extracted, and the global characteristics of the first objective fingerprint image are compared with the global characteristics of a previously stored fingerprint template of the terminal. Based on a first similarity between the global characteristics of the first objective fingerprint image and the global characteristics of the previously stored fingerprint template, the local characteristics of the first objective fingerprint image are extracted and the local characteristics extracted from the First target fingerprint image are compared with the local features of the fingerprint template. It is determined that the first objective fingerprint image matches based on a second similarity between the local characteristics of the first objective fingerprint image and the local characteristics of the fingerprint template.

A terminal is also disclosed herein, which includes a fingerprint receiving unit, a first determining unit, a pairing unit, and an unlocking unit.

The fingerprint receiving unit is configured to receive at least a first fingerprint image when a touch operation of a user's finger is detected on a fingerprint recognition sensor of a terminal, and to receive at least a second image Fingerprint based on CAC parameters when the finger is in a stable state.

The first determining unit is configured to determine a first objective fingerprint image of at least a second fingerprint image; The first objective fingerprint image is the best fingerprint image of the image of at least a second fingerprint.

The pairing unit is configured to match the first target fingerprint image. The unlock unit is configured to unlock the terminal when the first target fingerprint image matches.

In some possible implementations, the terminal also includes a second unit of determination, which is configured to determine, based on the at least one first fingerprint image, if the user's finger is in a stable state and if the user's finger is a wet finger

When the second determining unit determines that the user's finger is the wet finger, the fingerprint receiving unit is configured to determine the CAC parameters corresponding to the wet finger, and receiving the at least a second fingerprint image based on the CAC parameters determined corresponding to the wet finger.

In some possible implementations, the second unit of determination is configured to determine a second objective fingerprint image, where the second objective fingerprint image is the best fingerprint image of the at least one first fingerprint image; acquire at least one underlying data used to generate the second objective fingerprint image; determine if the user's finger is the wet finger based on the number of underlying data in a predetermined range of at least one of the underlying data.

In some possible implementations, the second unit of determination is further configured to: determine a second objective fingerprint image, wherein the second objective fingerprint image is the best fingerprint image of at least one first fingerprint image; extract the characteristic points of the second objective fingerprint image; Determine if the user's finger is the wet finger based on the number of characteristic points of the second target fingerprint image.

In some possible implementations, the pairing unit is further configured to extract global features from the first target fingerprint image, and compare the global features extracted from the first target fingerprint image to the overall features of a previously fingerprint template. terminal storage; based on a first similarity of the global characteristics of the first target fingerprint image and the overall characteristics of the fingerprint template, extract the local characteristics of the first objective fingerprint image and compare the local characteristics of the first image of objective fingerprint with the local characteristics of the fingerprint template; Determine that the first objective fingerprint image matches based on a second similarity between the local characteristics of the first objective fingerprint image and the local characteristics of the fingerprint template.

In accordance with another aspect of the present disclosure, a terminal is provided, which includes a memory configured to store executable program codes, a processor coupled to the memory, and a fingerprint recognition sensor configured to receive fingerprint images. The processor is configured to call the executable program codes stored in memory to execute all or part of the operations of any of the methods illustrated in the first aspect of the present disclosure. This document also discloses a computer readable storage medium, which is configured to store computer software instructions adapted for use by the terminal in accordance with the second aspect of the present disclosure. The computer software instructions include programs designed for the implementation of the methods described above.

In embodiments of the present disclosure, the reception time of the fingerprint image can be saved and, therefore, the unlock time of the terminal fingerprint can be shortened. The fingerprint images to unlock will be obtained when the user's finger tends to be stable. This prevents the fingerprint recognition sensor from obtaining a vague fingerprint image due to the instability of the user's hand (in other words, hand shaking), thus preventing the improvement of the false rejection rate (FRR) of fingerprint recognition.

These and other aspects of the present disclosure will be more concise and easy to understand in the description of the following embodiments.

Brief description of the drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings used in the description of the embodiments will be briefly described, it will be apparent that the drawings described below are embodiments of the present disclosure, and will be apparent to Those skilled in the art can obtain other drawings from the drawings without any creative work.

Figure 1 is a schematic flow chart illustrating a method of controlling the release according to an embodiment of the present disclosure.

Figure 2 is a schematic flow chart illustrating another method for controlling the release according to an embodiment of the present disclosure.

Figure 3 is a schematic flow chart illustrating another method of controlling the release according to an embodiment of the present disclosure.

Figure 4 is a schematic structure diagram illustrating a terminal according to an embodiment of the present disclosure.

Figure 5 is another schematic structure diagram illustrating the terminal according to an embodiment of This disclosure.

Figure 6 is another schematic structure diagram illustrating a terminal according to an embodiment of the present disclosure.

Figure 7 is another schematic structure diagram illustrating a terminal according to an embodiment of the present disclosure.

Figure 8 is a schematic diagram illustrating a fingerprint template in accordance with an embodiment of the present disclosure.

Detailed description of illustrated embodiments

In order to provide a better understanding of the present disclosure for those skilled in the art, the technical schemes of the embodiments of the present disclosure will be described in the following description along with the accompanying drawings completely and clearly. Obviously, the described embodiments are simply a part instead of all the embodiments of the present disclosure. All other embodiments obtained by those skilled in the art based on the embodiments of the present disclosure without creative work should be within the scope of the present disclosure, which is defined by the terms of the claims, which is defined by the terms of the claims.

The following will be described in detail.

The terms "first," "second," "third," and "fourth" used in the specification, the claims, and the accompanying drawings of the present disclosure are used to distinguish between different objects instead of describing a particular order. The terms "include", "understand", and "have", as well as their variations, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of stages or units is not limited to the stages or units listed, optionally it may include other stages or units that are not listed; alternatively, other stages or units inherent in the process, method, product, or device may also be included.

The term "embodiment" or "implementation" referred to herein means that a particular feature, structure, or feature described in connection with the embodiment may be contained in at least one embodiment of the present disclosure. The phrase that appears in various places in the specification does not necessarily refer to the same embodiment, nor does it refer to an independent or alternative embodiment that is mutually exclusive with other embodiments. Those skilled in the art understand explicitly and implicitly that an embodiment described herein may be combined with other embodiments.

In the following, some of the terms used in this document are explained to facilitate the understanding of those skilled in the art.

Terminal

Terminal, also known as terminal device, terminal equipment or user equipment (UE), means an electronic device that provides voice and / or data connectivity to a user, examples of which include handheld devices with wireless connectivity function, devices on board and the like. Common terminals include, for example, mobile phones, tablets, laptops, handheld computers, mobile Internet devices (MID), and equipment that can be dressed, such as smart watches, smart wristbands, and pedometers and so on. The terminals in the present disclosure may also include automatic teller machines (ATMs), ticket vending machines, entry guard machines, medical equipment, and other terminals equipped with fingerprint recognition.

Fingerprint recognition sensor

A fingerprint recognition sensor, also known as a fingerprint recognition module or fingerprint sensor, can recognize individual fingerprint characteristics through a specific induction sensor. Currently, the fingerprint recognition sensor is mainly divided into an optical fingerprint sensor, a capacitive fingerprint sensor, and a radiofrequency (RF) fingerprint sensor. The fingerprint recognition sensor can be configured in combination with a metal dome matrix (in other words, dome key) of a terminal, and can be set on the front surface, the back surface, or the side surface of the terminal , the present disclosure is not limited to this. Similarly, the fingerprint recognition sensor can be configured in combination with the touch screen of the terminal. For example, the fingerprint recognition sensor can be configured under the touch panel of the touch screen.

Automatic capacity control parameter (CAC)

A CAC parameter includes "ADC change or ADC shift", "ADC gain", and "pixel gain". "ADC change" refers to the displacement of an analog to digital converter (ADC).

It is assumed that the fingerprint recognition sensor includes 56 * 172 pixels, each pixel in a drawing process corresponds to a pixel value; that is, a total of 10,752 pixel values can be obtained, generally, the size of these 10,752 pixel values is between 0.4 and 0.8 and the pixel values for most pixels are different, and Then a distribution map can be formed. "ADC gain" refers to the ADC gain; the greater the profit, the more dispersed the distribution map is, on the other hand, the smaller the gain, the more concentrated the distribution map; the more scattered the distribution map is, the greater the contrast of a received image, and the originally darker pixels in the fingerprint image will be even darker, while the originally whiter pixels in the fingerprint image will be even more white. "Pixel gain" refers to the gain of a pixel and is determined by a capacitor connected in parallel with an amplifier. The amplifier is connected in parallel with multiple capacitors and each of the capacitors can be controlled by a switch. The more the switch closes, the greater the gain, the higher the pixel value, and the stronger the signal strength.

During an ADC control process, generally, the "pixel gain" is fixed, and therefore, the ADC control process is mainly used to adjust the "ADC change" and the "ADC gain", among which the "ADC change" is to adjust the location of the entire distribution map, and the "ADC gain" is to adjust the distribution or dispersion of the distribution map. Each finger is not the same, and the fingerprint recognition sensor can be used to debug images captured through different parameters. Assuming that the "ADC change" and the "ADC gain" each have five levels, the combination of these two can have 25 combinations, so the fingerprint recognition sensor can receive up to 25 fingerprint images each time.

characteristics

The feature or feature refers to the fingerprint characteristics of a fingerprint image or a fingerprint recognition sensor; The fingerprint feature includes global features and local features. Global features in turn include basic pattern patterns such as loop, arc, and spiral. Local features, also known as minutiae, node, or feature point, in general, refer to an individual part of the fingerprint or representative information thereof. Two fingerprints often have the same global characteristics, however, their local characteristics, that is, the minutiae, cannot be exactly the same. Prints of a fingerprint are not continuous, smooth, or straight, but often break, fork, or curl. These breakpoints, fork points, and inflection points are called "minutiae," which can provide confirmation information of the uniqueness of a fingerprint. The minutiae in a fingerprint have the following four different properties. 1) end means an end of an impression; 2) fork, means the division of one impression into two or more than two impressions; 3) crest divergence, means the separation of two parallel impressions; 4) point or island, means a particularly short impression that becomes a small point; 5) enclosure, means a small ring formed when an impression is divided into two impressions and these two impressions are immediately merged into one. Characteristic fingerprint data also includes the following: 1) short crest, means an impression that is short but not so short to be a small point; 2) orientation, means that a minute point can go in a certain direction; 3) curvature, describes the speed at which the orientation of a print changes; 4) position, which is described through coordinates (x, y), can be absolute, or can be inductively recognized in relation to triangular points or minutiae.

ADC

The ADC can be incorporated into a fingerprint recognition sensor, and can be used to convert analog signals from a fingerprint image into digital signals.

Wet finger

Wet finger, also known as sweaty finger, that is, in the absence of exercise, the hands of some people will sweat, commonly known as easy sweat body. In this case, the surface of the finger will have a lot of sweat, such a finger will be called "wet finger".

Fingerprint template

The term "fingerprint template" and its variants generally refers to a substantially complete fingerprint, or representative information thereof, collected from one or more nodes of a finger. For example, when a terminal's fingerprint function is activated for the first time, such as a mobile phone, the user may be asked to undergo a fingerprint registration process; During the fingerprint registration, the user puts his finger on a fingerprint sensor for the acquisition or reception of fingerprint images by the fingerprint sensor, and the received fingerprint image will be stored as a fingerprint template Normally, a finger corresponds to a fingerprint template; Generally, the fingerprint sensor can receive 10 to 20 times for each finger in order to receive the entire face of the fingerprint fingerprint and generate a complete fingerprint template. Feature information can be obtained from the received fingerprint image, and, for example, the fingerprint template can be saved as an image. Figure 8 illustrates an example fingerprint template, and the numbers marked on the fingerprint of Figure 8 refer to the minutiae.

False Rejection Rate (FRR)

FRR refers to the percentage of recognition instances in which a false rejection occurs, namely, it refers to the probability of error that the same fingerprint is identified as a different fingerprint and is rejected. FRR = (the number of fingerprints falsely rejected / the total number of fingerprints examined) * 100%.

Fingerprint image

The fingerprint image generally refers to images collected or received by the fingerprint recognition sensor; Fingerprint image data, fingerprint image information, fingerprint data, or fingerprint information generally refers to information or data of the fingerprint image, and can be stored locally in the terminal, such as stored in a database or memory integrated in the terminal. When reference is made to receiving or collecting a fingerprint image, this can be understood as receiving fingerprint image information or fingerprint image data, or data required to generate or obtain a fingerprint image. When we refer to "receiving" or a fingerprint image, it means that a terminal, a fingerprint recognition sensor or a fingerprint recognition module, or other related components of the terminal may acquire, obtain, collect or other Ways to get the fingerprint image.

Also, the terms "a plurality of" or "multiple" means two or more than two. The term "and / or" is used to describe the association of associated objects and indicates that there may be three relationships. For example, "A and / or B" means three situations, that is, A alone, both A and B, or B alone. The character T generally indicates that the associated objects before and after the character are in an "O" relationship.

In the following, the technical solutions of the present disclosure will be described in detail.

In accordance with an embodiment of the present disclosure, a method for controlling the unlocking of a terminal is provided. In this method, when a touch operation of a user's finger is detected on a fingerprint recognition sensor of a terminal, at least a first fingerprint image is received or collected. When the finger is in a stable state, at least a second fingerprint image is received or collected. A target fingerprint image is selected from at least a second fingerprint image, and the terminal will be unlocked when the target fingerprint image matches.

Figure 1 is a schematic flow chart illustrating the method of controlling the release according to an embodiment of the present disclosure. As illustrated in Figure 1, the method can begin in block 102.

In block 102, when a touch operation of a user's finger is detected on a fingerprint recognition sensor of a terminal, the terminal receives at least a first fingerprint image. For example, the terminal may receive M first fingerprint images, where M is a positive integer.

In block 104, the terminal receives at least a second fingerprint image based on CAC parameters when the user's finger is in a stable state. As an implementation, the terminal can receive N second fingerprint images based on N sets of CAC parameters when the user's finger is in the stable state, where

N can be an integer greater than 1. For example, it can be determined, based on the at least one first fingerprint image, if the user's finger is in a stable state.

In block 106, the terminal determines or selects a first target fingerprint image of at least a second fingerprint image. The first objective fingerprint image is the best fingerprint image of the at least a second fingerprint image. For example, the first fingerprint image is a fingerprint image that has the best clarity.

In block 108, a pairing process is performed on the first target fingerprint image.

In block 110, the terminal is unlocked when the first target fingerprint image matches.

For example, when the user presses the fingerprint recognition sensor, hand shaking may occur while the user himself cannot feel it. In this case, the fingerprint image received by the fingerprint recognition sensor may be vague, and this may affect the fingerprint comparison. of follow up. Before receiving fingerprint images to unlock, that is, the second fingerprint images, the terminal may first receive the first fingerprint images. The fingerprint images to unlock will be obtained when the user's finger tends to be stable. This prevents the fingerprint recognition sensor from obtaining a vague fingerprint image due to the instability of the user's hand (in other words, hand shaking), thus preventing the improvement of the fingerprint recognition FRR rate. . Also, if the terminal is required to receive the fingerprint image according to the parameter of a wet finger separately. The reception time of the fingerprint images can be saved and, therefore, the unlock time of the fingerprint can be shortened.

Alternatively, before receiving the image of at least a second fingerprint image based on the CAC parameters in block 104, the method illustrated in Figure 1 may further include the following.

The terminal determines if the user's finger is in a stable state and if the user's finger is a wet finger according to the at least one first received fingerprint image. As an implementation, the terminal can determine if the finger is the wet finger during the process of determining if the user's finger is in a stable state, that is, these two operations can be performed in parallel.

When the user's finger is the wet finger, the manner in which the at least a second fingerprint image is received based on the CAC parameters in block 104 can be implemented as follows. Take N second fingerprint images as an example, N sets of CAC parameters corresponding to the wet finger are determined, and the images of the second fingerprint N are received based on the sets N of the CAC parameters corresponding to the wet finger.

For example, in order to avoid the problem that the N second fingerprint images received by the fingerprint recognition sensor are unclear because the user's finger is the wet finger, the terminal can determine whether the finger The user's finger is wet before receiving the second N fingerprint images. When the user's finger is the wet finger, the terminal can receive the second N fingerprint images based on the sets of N parameters corresponding to the wet finger, which can guarantee the availability of the N sets of parameters received by the sensor. fingerprint recognition, and FRR fingerprint recognition can be reduced.

Determination of wet finger

When M is an integer greater than 1 (M> 1), the way in which the terminal determines whether the user's finger is a wet finger based on the first M fingerprints can be implemented as follows. Way 1

The terminal determines a second objective fingerprint image, and the second objective fingerprint image is the best fingerprint image of the at least one first fingerprint image (such as the first M fingerprint images). For example, the best fingerprint image is a fingerprint image with the best clarity. The terminal acquires at least one (such as K, where K is an integer greater than 1) underlying data used to generate the second target fingerprint image. The terminal determines whether the user's finger is the wet finger based on the number of underlying data in a predetermined range of the underlying K data. As an implementation, among the K underlying data, when the number of underlying data in the predetermined range is greater than or equal to a first threshold, the terminal determines that the user's finger is the wet finger. On the other hand, when the number of underlying data in the predetermined range is less than the first threshold, the terminal determines that the user's finger is not the wet finger.

For example, the fingerprint includes finger valleys and finger crests, when the user's finger is wet, finger valleys are filled with water drops on the user's finger. In this case, when the fingerprint recognition sensor is pressed with the user's finger, most of the underlying data acquired by the detection electrodes of the fingerprint recognition sensor are within or beyond the range of the crest of finger. Therefore, the terminal can determine if the user's finger is the wet finger by determining the amount of underlying data acquired by the detection electrodes of the fingerprint recognition sensor that are in the range of the valley of fingers, which can be implemented as follows. The terminal first selects the second target fingerprint image of the first M fingerprint images, and then acquires the K underlying data used to generate the second target fingerprint image. When the number of underlying data in the predetermined range of the K underlying data is greater than or equal to the first threshold (that is, the default range is the finger valley range, for example, the predetermined range may be 0-40, the first threshold can be 30, 40, 50, or other values), the terminal determines that the user's finger is the wet finger. Otherwise, the terminal determines that the user's finger is not the wet finger.

Way 2

The terminal determines a second objective fingerprint image, and the second objective fingerprint image is the best fingerprint image of the at least one first fingerprint image (such as the first M fingerprint images). For example, the best fingerprint image is a fingerprint image with the best clarity. The terminal extracts characteristic points from the second objective fingerprint image. The terminal determines whether the finger is the wet finger based on the number of characteristic points of the second objective fingerprint image. As an implementation, when the number of the characteristic points of the second target fingerprint image is less than a second threshold, the terminal determines that the user's finger is the wet finger. Otherwise, when the number of the characteristic points of the second target fingerprint image is greater than or equal to the second threshold, the terminal determines that the user's finger is not the wet finger.

For example, when the finger of the user who presses the fingerprint recognition sensor is a wet finger, the prints of the received or collected fingerprint image may not be clear due to dew on the user's finger, which gives as result that the characteristic points that can be extracted in the fingerprint image are small. Accordingly, the terminal can determine if the user's finger is the wet finger by determining the number of characteristic points that can be acquired in the fingerprint image, which can be implemented as follows. The terminal first selects a second objective fingerprint image of the at least one first fingerprint image, then extracts characteristic points of the second objective fingerprint image. When the number of the characteristic points of the second objective fingerprint image is less than a second threshold (such as, 50, 60, 70, or other values), the terminal determines that the user's finger is the wet finger. Otherwise, the terminal determines that the user's finger is not the wet finger.

Steady state determination

The way in which the terminal determines whether the user's finger is in the stable state based on at least a first fingerprint image can be implemented as follows.

Take the first M fingerprint images as an example. The terminal determines the clarity of each of the first M fingerprint images and determines the difference in the clarity of either of the two M images of the first fingerprint. When the difference in clarity of any of the first two M fingerprint images is less than or equal to a predetermined threshold, the terminal determines that the user's finger is in the stable state. When the difference in clarity of any of the first two M fingerprint images is greater than a predetermined threshold, the terminal determines that the user's finger is not in the stable state.

For example, generally, when the user's finger is in a stable state, the clarity of the fingerprint images received at different time points by the fingerprint recognition sensor is close. Therefore, the terminal can receive multiple first fingerprint images and then determine the difference in clarity of any of the first two fingerprint images. When the difference in clarity of any of the first two fingerprint images is less than or equal to the predetermined threshold, (for example, the difference may be less than 3%, 5%, or other values), the terminal may determine that The user's finger is in the stable state. Otherwise, the terminal may determine that the user's finger is not in the stable state.

As an implementation, in block 108, the manner in which the pairing process is performed on the first objective fingerprint image can be implemented as follows.

The terminal extracts the global characteristics of the first objective fingerprint image, and compares the global characteristics extracted from the first objective fingerprint image with the global characteristics of a previously stored fingerprint template of the terminal. Based on a first similarity between the global characteristics of the first objective fingerprint image and the global characteristics of the previously stored fingerprint template, the terminal extracts the local characteristics of the first objective fingerprint image, and compares the local characteristics of the first objective fingerprint image with the local features of the fingerprint template. The terminal determines that the first objective fingerprint image is compared based on a second similarity between the local characteristics of the first objective fingerprint image and the local characteristics of the fingerprint template.

For example, the terminal extracts local characteristics when the first similarity is greater than or equal to a third threshold; The terminal determines that the first target fingerprint image matches when the second similarity is greater than or equal to a fourth threshold, that is, the comparison / pairing process is successful.

For example, in order to further reduce the power consumption of the terminal, the terminal may first extract the overall characteristics of the first target fingerprint image (without extracting the local characteristics) during the comparison of the fingerprint.

When the global characteristics coincide with the global characteristics of the fingerprint template (that is, the similarity between the two is greater than or equal to the third threshold, for example, the third threshold may be 70%, 80%, 85% , 90% or other values), the terminal extracts the local characteristics of the first target fingerprint image and compares the local characteristics. When the global characteristics do not match the global characteristics of the fingerprint template, the terminal can directly determine that the comparison of the fingerprint does not match.

When the local characteristics of the first target fingerprint image match the local characteristics of the fingerprint template (that is, the similarity between the two is greater than or equal to the fourth threshold, for example, the fourth threshold may be of 70%, 80%, 85%, 90% or other values), the terminal determines that the comparison of the fingerprint is successful. It can be seen that, during fingerprint comparison, the global features are extracted first, and the local features are extracted for comparison when the overall features are combined; in this way, it is possible to avoid the problem that the comparison of the fingerprint is made when the fingerprint image entered is not the fingerprint image of the user himself, thus avoiding increasing the power consumption of the terminal.

For the implementation of the operation in block 110, the terminal can be unlocked as follows. For example, the terminal acquires and displays the service information associated with the current location of the terminal. For example, when the current location of the terminal is a restaurant (it belongs to the predetermined types of service), the terminal may acquire service information associated with the restaurant and the service information may be special requests, menu, and so on. Then, the terminal can display the service information acquired on the terminal screen to see the users.

In accordance with an embodiment of the present disclosure, a more detailed method of controlling unlocking is provided. As illustrated in Figure 2, the method can begin in block 202.

In block 202, a terminal receives M first fingerprint images when a touch operation of a user's finger is detected on a fingerprint recognition sensor, where M is a positive integer. In block 204-1, the terminal determines if the user's finger is in a stable state based on the first M fingerprint images. When the user's finger is in a stable state, proceed to block 208; otherwise, proceed to block 208 or block 210 after a predetermined period of time. The predetermined period of time can be predetermined by the terminal, or it can be set by the user later. The present disclosure is not limited to this.

In block 204-2, the terminal determines whether the user's finger is a wet finger based on the first M fingerprint images. When the user's finger is the wet finger, proceed to block 206-1, otherwise proceed to block 206-2.

For example, when the finger is in the stable state and the finger is the wet finger, proceed to block 206-1; When the finger is in a stable state and the finger is not the wet finger, proceed to block 206-2; when the finger is not in the stable state and the finger is the wet finger, proceed to block 206-1 after the predetermined period of time; When the finger is not in the stable state and the finger is not the wet finger, proceed to block 206-2 after the predetermined period of time.

In block 206-1, the terminal determines N sets of CAC parameters corresponding to the wet finger and receives N second fingerprint images based on the N sets of CAC parameters corresponding to the wet finger.

In block 206-2, the terminal determines N sets of previously stored CAC parameters and receives N second fingerprint images based on the N sets of previously stored CAC parameters.

In block 208, the terminal determines a first objective fingerprint image; The first objective image of the fingerprint is a fingerprint image with the best image quality of the N second fingerprint images.

In block 210, the terminal executes a fingerprint comparison process in the first target fingerprint image. When the result of the fingerprint comparison process matches, proceed to block 212.

In block 212, the terminal acquires the current location of the terminal.

In block 214, when the current location of the terminal belongs to a predetermined type, the terminal acquires and displays the service information associated with the current location.

It should be noted that, the operation in block 204-2 can be performed in parallel with the operation in block 204 1. The operation that when the finger of the use is not in the stable state is not illustrated in Figure 2, it means that The operation is not executed or is not valid. Also, the details of the implementation of the operations from block 202 to block 214 may refer to the method described above.

In accordance with another aspect of the present disclosure, another method for controlling the release is provided. In the method described above, the fingerprint comparison is executed after receiving the first fingerprint images and the second fingerprint images. The present disclosure is not limited to this. For example, in order to save terminal unlock time, the fingerprint comparison can be performed while receiving the second fingerprint images. Figure 3 illustrates the method in detail. As illustrated in Figure 3, the method can begin in block 302.

In block 302, at least a first fingerprint image is received when a touch operation of a user's finger on a fingerprint recognition sensor of a terminal is detected.

In block 304, when the finger is in a stable state, a first objective fingerprint image is selected from at least a first fingerprint image, a pairing process is performed on the first objective fingerprint image, and at least a second fingerprint image is received based on CAC parameters; The first objective fingerprint image is the best fingerprint image of the image of at least a first fingerprint, such as a fingerprint image that has the best clarity. As can be seen, the comparison of the fingerprint in the first fingerprint image and the reception of the at least a second fingerprint image can be performed in parallel.

In block 306, a pairing process is executed on the first target fingerprint image.

In block 308, when the first objective fingerprint image is matched, the reception of the at least a second fingerprint image is terminated and in block 310, the terminal is unlocked. As can be seen, since there is no need to receive all second fingerprint images, the time required for unlocking can be saved even more.

On the other hand, when the first objective fingerprint image does not match, in block 312, a second objective fingerprint image is selected from the at least a second fingerprint image.

In block 314, a pairing process is performed on the second target fingerprint image; When the second target fingerprint image matches, proceed to block 310 to unlock the terminal.

In the same way as the previous methods, before at least a second fingerprint image is received, it can be determined that if the user's finger is in a stable state and if the user's finger is a wet finger based on the at least one First fingerprint image.

When the user's finger is the wet finger, the at least a second fingerprint image can be received based on the CAC parameters as follows: the CAC parameters corresponding to the wet finger are determined; and the at least a second fingerprint image is received based on the determined CAC parameters corresponding to the wet finger.

The way in which it is determined whether the user's finger is the wet finger includes, but is not limited to: (1) at least one underlying data used to generate the first objective fingerprint image is acquired; and it is determined whether the finger is the wet finger based on the number of underlying data in a predetermined range of at least one of the underlying data; or (2) the characteristic points of the first objective fingerprint image are extracted; and it is determined that if the finger is the wet finger based on the number of characteristic points of the second objective fingerprint image.

For details not illustrated in this document, please refer to the description in Figure 1 and Figure 2, and will not be repeated in this document.

In accordance with an embodiment of the present disclosure, a terminal is provided. Figure 4 is a schematic structure diagram illustrating the terminal. As illustrated in Figure 4, a terminal 400 includes a fingerprint receiving unit 402, a first determining unit 404, a pairing unit 406, and an unlocking unit 408.

The fingerprint receiving unit 402 is configured to receive at least one (such as M, where M is a positive integer) first fingerprint image when a touch operation of a user's finger is detected on a recognition sensor of a terminal's fingerprint, and receive at least one (such as N, where N is a positive integer, and in at least one embodiment, N is an integer greater than 1) second fingerprint image based on CAC parameters when the finger is in a stable state.

The first unit of determination 404 is configured to determine a first target fingerprint image. The first objective fingerprint image is the best fingerprint image of the image of at least a second fingerprint, for example, the first objective fingerprint image is a fingerprint image that has the best clarity.

The pairing unit 406 is configured to match the first target fingerprint image. The unlock unit 408 is configured to unlock the terminal when the first target fingerprint image matches.

As illustrated in Figure 5, the terminal 400 may further include a second determination unit 410. The second determination unit 410 is further configured to determine, based on the at least one first fingerprint image received by the receiving unit fingerprint 402, if the user's finger is in a stable state and if the user's finger is a wet finger. Correspondingly, when the second determining unit 410 determines that the user's finger is the wet finger, the fingerprint receiving unit 402 is configured to determine the CAC parameters corresponding to the wet finger, and receiving the at least a second fingerprint image finger based on the determined CAC parameters corresponding to the wet finger. The number of the CAC parameter corresponding to the number of the second fingerprint image. For example, N sets of CAC parameters are determined to receive N second fingerprint images.

The second determining unit 410 is configured to determine a second objective fingerprint image, the second objective fingerprint image is the best fingerprint image (such as a fingerprint image with the best clarity) of the at least one first fingerprint image; acquire at least one (such as K, where K is an integer greater than 1) underlying data used to generate the second target fingerprint image; determine if the user's finger is the wet finger based on the number of underlying data in a predetermined range of at least one of the underlying data. For example, when the number of underlying data in the predetermined range of the K underlying data is greater than or equal to the first threshold, the second determination unit 410 determines that the user's finger is the wet finger; and when the number of underlying data in the predetermined range of the K underlying data is less than the first threshold, the second determination unit 410 determines that the user's finger is not the wet finger.

Alternatively, the second determining unit 410 is configured to determine a second objective fingerprint image, which is a fingerprint image with the best clarity of at least a first fingerprint image; extract the characteristic points of the second objective fingerprint image; Determine that the user's finger is the wet finger based on the number of characteristic points of the second target fingerprint image. For example, the second determining unit 410 may determine that the user's finger is the wet finger when the number of the characteristic points of the second objective fingerprint image is less than a second threshold; and determining that the user's finger is not the wet finger when the number of the characteristic points of the second objective fingerprint image is greater than or equal to the second threshold.

The pairing unit 406 is further configured to: extract the global characteristics of the first objective fingerprint image, and compare the global characteristics extracted from the first objective fingerprint image with the global characteristics of a previously stored fingerprint template of the terminal, such as a fingerprint template stored in a memory 414 of the terminal; extract local characteristics of the first target fingerprint image, and compare the local characteristics of the first objective fingerprint image with the local characteristics of the fingerprint template, based on a first similarity of the overall characteristics of the first image of target fingerprint and the overall characteristics of the fingerprint template; Determine that the first objective fingerprint image matches based on a second similarity between the local characteristics of the first objective fingerprint image and the local characteristics of the fingerprint template. For example, when the first similarity is greater than or equal to a third threshold, the pairing unit 406 extracts the local characteristics; and when the second similarity is greater than or equal to a fourth threshold, the pairing unit 406 determines that the first target fingerprint image matches.

Alternatively, the terminal may also include a location acquisition unit 412. The location acquisition unit 412 is configured to acquire the current location of the terminal. The unlock unit 408 is further configured to acquire and display service information associated with the current location of the terminal when the terminal is unlocked.

It should be noted that, the components described above, that is, the fingerprint receiving unit 402, the first determining unit 404, the pairing unit 406, the unlocking unit 408, the second determining unit 410, and the unit Location acquisition 412 can be configured to implement the corresponding operations above.

In this embodiment, terminal 400 is presented in the form of units or modules. "Units / Modules" used herein may refer to any one of the application-specific integrated circuits (ASICs), processors for performing one or more software or hardware programs, a memory, an integrated logic circuit, or other components. With the above functions.

As illustrated in Figure 6, a terminal 600 may be implemented in the structure of Figure 4, and terminal 600 may include at least one processor 602, at least one memory 604, at least one communication interface 606, and one sensor fingerprint recognition 608. The processor 602, the memory 604, the fingerprint recognition sensor 608, and the communication interface 606 can connect and communicate with each other via a communication bus. Also, the fingerprint receiving unit 402 can be implemented through the fingerprint recognition sensor 604 of the terminal illustrated in Figure 6, the first determining unit 404, the pairing unit 406, the unlocking unit 408, the second determination unit 410, and the location acquisition unit 412 can be implemented through the processor 602 of the terminal illustrated in Figure 6.

The processor 602 may be one of a central processing unit (CPU), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits to control the programs for the implementation of the aforementioned technical solutions.

Communication interface 606 is configured to communicate with other communication devices or networks such as Ethernet, radio access network (RAN), wireless local area network (WLAN) and the like.

The memory 604 can be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, random access memory (RAM) or other types of dynamic storage devices that can store information and instructions , or it can be an electrically erasable programmable read-only memory (EEPROM), compact disk read-only memory (CD-ROM) or other disk storage media, disk storage media (including compact discs, laser discs, compact discs, digital versatile discs, Blue-ray discs and the like), disk storage media or other magnetic storage devices, or it can be any other means that can be used to transport or store the desired program code in the form of instructions or data structures and that can be accessed from a computer. The present disclosure is not limited to this. Memory 604 can exist independently and be connected to processor 602 through communication bus 606. Memory 604 can also be integrated with processor 602.

Memory 604 is configured to store application codes that execute the technical schemes mentioned above and is controlled by processor 602. Processor 602 is configured to execute application codes stored in memory 604.

Program codes stored in memory 604 can be used to perform the method for controlling the unlocking of a terminal as illustrated in Figure 1 to Figure 2. For example, when a touch operation of the user's finger is detected in a fingerprint recognition sensor of a terminal, M first fingerprint images are received, where M is a positive integer; when the user's finger is in a stable state, N second fingerprint images are received based on N sets of CAC parameters, where N is an integer greater than 1; a first objective fingerprint image is determined, a fingerprint comparison process is executed on the first objective fingerprint image, the first objective fingerprint image is the best fingerprint image of the N second fingerprint images objective; When the first target fingerprint image is matched, the terminal is unlocked.

The realization of the present disclosure also provides a more specific application scenario in which the terminal is a mobile phone and the following describes in detail the components of the mobile phone with reference to Figure 7. As illustrated in Figure 7, a Mobile phone 700 may include an RF (radio frequency) circuit 710, a memory 720, an input unit 730, a display unit 740, a sensor 750, an audio circuit 760, a wifi module 770, a processor 780, and a power supply 790. The input unit 730 further includes a touch panel 731, other input equipment 732, and a fingerprint recognition sensor 733. The display unit 740 includes a display panel 741. The audio circuit 760 is connected to a 761 speaker and a 762 microphone.

The RF circuit 710 is configured to receive and transmit signals or transmit or receive information during a call, and in particular, receive downlink information from a base station and transfer the downlink information to the processor 780 for processing, and transmit uplink data to the base station. Generally, RF circuit 710 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, coupler, low noise amplifier (LNA), duplexer and the like. Additionally, RF circuit 710 can also communicate with the network and other devices via wireless communication. The above wireless communication may use any standard or communication protocol, which includes, but is not limited to, the Global Mobile Communications System (GSM), general radio packet service (GPRS), multiple code division (CDMA) access, multiple broadband code division (WCDMA) access, long-term evolution (LTE), email, short message service (SMS) and so on.

Memory 720 can be configured to store software programs and modules, and processor 780 executes various function and data processing applications of the mobile phone by executing software programs and modules stored in memory 720. Memory 720 can mainly include a program storage region and a data storage region, the storage program region can store an operating system, application programs necessary for at least one function (a fingerprint image acquisition function, a matching function fingerprint, and an unlock function) and so on; and the data storage region may store data (such as fingerprint data received by a fingerprint recognition sensor, underlying data for storing a received fingerprint image) created in accordance with the use of the mobile phone, and so on. Additionally, memory 720 may include a high-speed RAM, and may also include non-volatile memory, such as one of at least one disk storage device, a flash device, or other non-volatile solid storage devices.

The input unit 730 can be configured to receive digital or input character information and generate a key signal input associated with the user's configuration and the functional control of the mobile phone. Specifically, the input unit 730 may include a touch panel 731, other input devices 732 and a fingerprint recognition sensor 733. The touch panel 731, also referred to as a touch screen, may receive a user or nearby touch operation , for example, operation on or near the touch panel 731 by a user using a finger or a pencil, or any suitable object or accessory, and operating a corresponding connection device in accordance with a preset program. The touch panel 731 may include a touch detection device and a touch controller. The touch detection device detects the user's contact position and detects a signal resulting from the touch operation, and transmits the signal to the touch controller. The touch controller receives the touch information from the touch detection device and converts the information into contact coordinates and sends it to the 780 processor, the touch controller can receive and execute the order sent by the 780 processor. Additionally, the touch panel 731 can be Perform using various types, such as resistive, capacitive, infrared, and surface acoustic waves. In addition to the touch panel 731, the input unit 730 may still include other input devices 732. The other input devices 732 may include, but are not limited to, at least one of a physical keyboard, a function key (such as the volume control buttons, switching buttons and so on), a scroll wheel, a mouse, and a joystick. The fingerprint recognition sensor 733 may be provided together with the terminal dome key or may be provided in combination with the touch panel 731. For example, the fingerprint recognition sensor 733 is provided below the touch panel 731, when a The user's finger touches the touch panel of the terminal, the fingerprint recognition sensor 733 below the touch panel 731 can receive a fingerprint image of the user's finger.

The display unit 740 may be configured to display information entered by the user or information provided to the user or various menus of the mobile phone. The display unit 740 may include a display panel 741, and alternatively, the display panel 741 may be configured in the form of a liquid crystal display (LCD), an organic light emitting diode (OLED) and so on. In addition, the touch panel 731 can cover the display panel 741. When the touch panel 731 detects a touch operation (touch event) in the same or near, the touch operation information can be transmitted to the processor 780 to determine the type of the touch event The processor 780 provides the corresponding visual output on the display panel 741 according to the type of touch event. Although in Figure 7, the touch panel 731 and the display panel 741 are used as two separate components to perform the input and output functions of the mobile phone, in some embodiments, the touch panel 731 may be integrated with the display panel. 741 to implement the mobile phone's input and output functions.

The mobile phone can also include at least one sensor 750, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor can include an ambient light sensor and a proximity sensor, among which the ambient light sensor can adjust the brightness of the display panel 741 according to the ambient lights, and the proximity sensor can turn off 741 display panel and / or the backlight when the mobile phone approaches the ear. As a type of motion sensor, the accelerometer sensor can detect the magnitude of acceleration in all directions (normally three axes, that is, x, y, yz); when stopped, the accelerometer sensor can detect the magnitude and direction of gravity when it is stopped; The accelerometer sensor can also identify the application of mobile gestures (such as the vertical and horizontal display switch, related games, magnetometer attitude calibration), or the accelerometer sensor can be used for the recognition of vibrations of related functions (such as a pedometer, percussion) and so on. The mobile phone can also be equipped with a gyroscope, barometer, hygrometer, thermometer, infrared sensor and other sensors, and will not be repeated here.

The audio circuit 760, the speaker 761, the microphone 762 can provide an audio interface between the user and the terminal. The audio circuit 760 can convert the received audio data into electrical data and transfer the electrical data to the speaker 761; thereafter, speaker 761 converts the electrical data into a sound signal for the output. On the other hand, microphone 762 converts the received sound signal into an electrical signal that it will be received by the audio circuit 760 and converted into audio data to be sent to the processor 780, the audio data is processed by the output processor 780 and transmitted through an RF circuit 710 to, for example, another mobile phone , or, audio data is sent to memory 720 for further processing. Wifi belongs to a short-range wireless transmission technology, the mobile phone can help the user to receive and send emails, web page browsing, access to broadcast media and the like via the 770 Wi-Fi module; Wifi offers users wireless broadband Internet access. Although illustrated in Figure 7, it should be understood that the Wi-Fi module 770 is not a necessary part of the mobile phone and can be omitted according to actual needs without departing from the essential nature of the present disclosure.

The 780 processor is the control center of the mobile phone, uses various interfaces and lines to connect various parts of the entire mobile phone, runs or executes software programs and / or modules stored in the 720 memory, and calls the data stored in 720 memory to perform various functions of the mobile phone and process data, thereby monitoring the mobile phone. In at least one implementation, the 780 processor may include one or more processing units; for example, the 780 processor can integrate an application processor and a modem processor, where the application processor manages the operating system, the user interface, the application, and so on, and the modem processor primarily processes the communication wireless It will be appreciated that the modem processor mentioned above may not be integrated into the 780 processor.

The mobile phone also includes a 790 power supply (for example, a battery) that supplies power to various components. For example, the power supply 790 may logically be connected to the processor 780 through the power management system to allow for the administration of load, discharge, and power consumption through the power management system. Although not illustrated, the mobile phone may include a camera, a Bluetooth module, etc., and will not be developed here. The method of each stage in the previous embodiments can be performed based on the terminal configuration illustrated in Figure 7.

The realization of the present disclosure also provides a computer readable storage medium. The computer readable storage medium can store a program that, when executed, can perform all or part of the steps of the unlocking method described in performing the method described above.

It should be noted that, for the sake of simplicity, the embodiments of the above method are described as a series of combinations of actions, however, those skilled in the art will appreciate that the present disclosure is not limited by the sequence of actions described. This is because, according to the present disclosure, certain steps can be performed in another order or simultaneously. Also, those skilled in the art will appreciate that the embodiments described in the specification are exemplary embodiments and that the actions and modules involved are not necessarily necessary for the present disclosure.

In the above embodiments, the descriptions of each embodiment are emphasized respectively, and parts that are not elaborated in a certain embodiment may be subject to relevant descriptions of other embodiments. The apparatus described in the embodiments provided herein can be implemented in other ways. For example, the embodiments of the device / apparatus described above are merely illustrative; for example, the division of the unit is only a logical function division and there may be another form of division during actual implementations, for example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not done. Additionally, the coupling or communication connection between each component shown or treated may be a direct coupling or a communication connection, or it may be an indirect coupling or communication between devices or units through some interfaces, and it may be electrical and mechanical or take other forms.

The units described as separate components may or may not be physically separated, the components shown as units may or may not be physical units, and, that is, they may be in the same place or may be distributed to multiple network elements. You can select part or all of the units according to the real needs to achieve the purpose of the technical solutions of the embodiments.

Additionally, the functional units in various embodiments of the present disclosure may be integrated into a processing unit, or each unit may be physically present, or two or more units may be integrated into a unit. The integrated unit mentioned above can be implemented in the form of hardware or a software function unit.

The integrated unit can be stored in a computer readable memory when it is implemented in the form of a software functional unit and sold or used as a separate product. Based on such an understanding, the technical solutions of the present disclosure essentially, or part of the technical solutions that contribute to the related technique, or all or part of the technical solutions, may be performed in the form of a software product that are stored in a memory and include instructions to make a computing device (which can be a personal computer, a server, or a network device and so on) to perform all or part of the steps described in the various embodiments of the present disclosure. The memory described above includes several media that can store program codes, such as a USB disk, read-only memory (ROM), random access memory (RAM), a mobile hard disk, a magnetic disk, or a disk optical and so on. Those skilled in the art will understand that all or part of the various methods of the embodiments described above may be carried out by means of a program to instruct associated hardware, the program may be stored in a computer readable memory, which may include a flash memory, a read-only memory (ROM), a random access memory (RAM), disk or CD, and so on. While the present disclosure has been described in detail above with reference to the exemplary embodiments, the scope of the present disclosure is not limited to this, but is defined by the terms of the appended claims.

Claims (5)

1. A method of unlocking control of a terminal, comprising: receiving (102) from a fingerprint recognition sensor of a terminal a plurality of first fingerprint images when a touch operation of a finger of a user is detected on the fingerprint recognition sensor of the terminal; determine, according to the plurality of first fingerprint images, if the finger is in a stable state and if the finger is a sweaty finger, wherein, when a difference in the clarity of any two of the plurality of the first fingerprint images is less than or equal to a predetermined value, it is determined that the user's finger is in a stable state, and where, determining that the user's finger is a sweaty finger comprises: determining a second objective image of the fingerprint of the plurality of first fingerprint images, wherein the second objective fingerprint image has the best clarity; extract the characteristic points of the second objective fingerprint image; and determining that the finger is the sweaty finger when a number of the characteristic points of the second objective fingerprint image is less than a threshold; receiving a plurality of second fingerprint images, where, when determining that the user's finger is the sweaty finger and is in the stable state, receiving (104) the plurality of second fingerprint images according to a plurality of parameters CACs corresponding to the sweaty finger, and when determining that the user's finger is a dry finger and the user's finger is in an unstable state, receive the plurality of second fingerprint images according to a plurality of previously stored CAC parameters, in where each CAC parameter comprises a displacement of an analog to digital converter, ADC, an ADC gain and a pixel gain; determining (106) a first objective fingerprint image from the plurality of second fingerprint images, wherein the first objective fingerprint image has the best clarity; match (108) the first target fingerprint image; Y unlock (110) of the terminal when the first target fingerprint image matches. 2. The method of claim 1, wherein matching the first objective fingerprint image further comprises: extract the global characteristics of the first objective fingerprint image, and compare the global characteristics of the first objective fingerprint image with the global characteristics of a previously stored fingerprint template of the terminal; extract the local characteristics of the first objective fingerprint image and compare the local characteristics of the first objective fingerprint image with the local characteristics of the fingerprint template, based on a first similarity between the global characteristics of the first image of target fingerprint and the overall characteristics of the previously stored fingerprint template; and determining that the first objective fingerprint image matches, based on a second similarity between the local characteristics of the first objective fingerprint image and the local characteristics of the fingerprint template. 3. The method of claim 2, wherein the first similarity is greater than or equal to a first threshold, the second similarity is greater than or equal to a second threshold. 4. The method of any one of claims 1 to 3, wherein unlocking the terminal comprises: Acquire and display service information associated with the current location of the terminal. 5. A terminal, comprising: a memory configured to store executable program codes; a processor coupled to memory; a fingerprint recognition sensor configured to receive a fingerprint image; Y wherein the processor is configured to call the executable program codes stored in memory to execute the method of any one of claims 1 to 4.